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SAS (previously "Statistical Analysis System") [1] is a statistical software suite developed by SAS Institute for data management, advanced analytics, multivariate analysis, business intelligence, criminal investigation, [2] and predictive analytics. SAS' analytical software is built upon artificial intelligence and utilizes machine learning ...
4D SAS is a French company owned by Laurent Ribardière. 4D has a US-based subsidiary 4D Inc. 4D was founded in 1984 when development began for Silver Surfer (early codename for 4D) and had its initial product release in 1987 [1] [2] [3] with its own programming language. [4]
Silver Surfer, as it was known during early development, was developed by Laurent Ribardière in 1984. Following negotiations with Ribardiere it was planned that Apple Inc. (formerly Apple Computer Inc) would publish the software but Apple canceled the plan, reportedly due to pressure from other potential database publishers who claimed that if Apple had their own "brand" database, third party ...
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SAS Institute (or SAS, pronounced "sass") is an American multinational developer of analytics and artificial intelligence software based in Cary, North Carolina. SAS develops and markets a suite of analytics software ( also called SAS ), which helps access, manage, analyze and report on data to aid in decision-making.
The SAS macro language is made available within base SAS software to reduce the amount of code, and create code generators for building more versatile and flexible programs. [21] The macro language can be used for functionalities as simple as symbolic substitution and as complex as dynamic programming . [ 8 ]
ADaMSoft – a generalized statistical software with data mining algorithms and methods for data management; ADMB – a software suite for non-linear statistical modeling based on C++ which uses automatic differentiation; Chronux – for neurobiological time series data; DAP – free replacement for SAS
[5] [12] Rewritten with Version 4 and released in 2002, JMP could import data from a wider variety of data sources [13] and added support for surface plots. [9] Version 4 also added time series forecasting and new smoothing models, such as the seasonal smoothing method, called Winter's Method, and ARIMA (Autoregressive Integrated Moving Average).